Identification of Parasite Pasmodium SP. on Thin Blood Smears With Rule-Based Method.
Abstract
Malaria is a disease that is still a considerable problem in tropical countries, including Indonesia. Experts Parasitology in diagnosing the parasite Plasmodium through thin blood smear with Giemsa staining. During this inspection is done manually by searching the parasite Plasmodium thin blood smear on a slide using light microscopy. This study provides an alternative discourse enforcement diagnosis of malaria automatically by a computer base, based on changes rheology of red blood cells infected with Plasmodium parasite through a microscopic image was taken from the description of a thin blood smear with Giemsa staining. Parasite Plasmodium identified by the shape of red blood morphology. Each type of Plasmodium parasite has a special characteristic morphology of infected red blood cells. The morphological characteristics of red blood cells that are used are the area, areas in the ratio of cells with an area of normal red blood cells, the ratio of the diameter, and the ratio of roundness. Image processing method used was a median filter to pre-processing, Otsu and erosion to segments, then Bounding Box and Euclidean Distance for feature extraction. The test results showed that the method that is used to identify the type of parasite Plasmodium, and Plasmodium Vivax Falciparum with a system accuracy of 55%.
Keywords
Euclidean Distance; Plasmodium Falciparum; Plasmodium Vivax; Otsu; Bounding Box
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